A neural network sliding mode controller with application to robotic manipulator

被引:0
|
作者
Peng, Jinzhu [1 ]
Wang, Yaonan [1 ]
Sun, Wei [1 ]
Liu, Yan [1 ]
机构
[1] Hunan Univ, Coll Elect & Informat Engn, Changsha 410082, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
sliding mode control; neural network; robotic trajectory control;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A sliding mode control strategy compensated by neural network is proposed, and that is applied to robotic trajectory control. First, a three-layer neural network is used to compensate the uncertainties in the robotic system. Then the structure of sliding mode controller with neural network compensation and the learning algorithm of the neural network are designed based on Lyapunov theorem to guarantee the stability of the system and improve the dynamic performance of the system. The simulation results show that the proposed control strategy can not only reduce the phenomenon of chattering in effect, but also has good robustness and dynamic performance.
引用
收藏
页码:2101 / +
页数:2
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